Andriette Bekker

Publications

• Protein structure parameterization via möbius distributions on the torus
• A theoretical framework for Landsat data modeling based on the matrix variate meanmixture of normal model
• Generalized Skew-Symmetric Circular and Toroidal Distributions
• An Enriched -μ Model as Fading Candidate
• A note on the product of independent beta random variables
• Constructing multivariate distributions via the Dirichlet generator
• A Semi-parametric Density Estimation with Application in Clustering
• Matrix-Variate Beta Generator-Developments and Application
• Sibling rivalry within inverse Weibull family to predict the COVID-19 spread in South Africa
• Coming together of Bayesian inference and skew spherical data
• A unified complex noncentral Wishart type distribution inspired by massive MIMO systems
• Bayesian inference for skew-wrapped Cauchy mixture model using a modified Gibbs sampler
• Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling
• Modeling right-skewed financial data streams: A likelihood inference based on the generalized Birnbaum–Saunders mixture model
• Evaluating prediction of COVID-19 at provincial level of South Africa: a statistical perspective
• A flexible factor analysis based on the class of mean-mixture of normal distributions
• Compositional data modeling through Dirichlet innovations
• Alternative Dirichlet priors for estimating entropy via a power sum functional
• Mastering the body and tail shape of a distribution
• Flexible Factor Model for Handling Missing Data in Supervised Learning
• Capturing a Change in the Covariance Structure of a Multivariate Process
• Contributions to the class of beta-generated distributions
• Möbius Transformation-Induced Distributions Provide Better Modelling for Protein Architecture
• Computational methods applied to a skewed generalized normal family
• Mean Mixtures in Directional Statistics
• The ratio of independent generalized gamma random variables with applications
• Empowering differential networks using Bayesian analysis
• A Data Driven Bayesian Graphical Ridge Estimator
• A unified model for skewed circular data
• Pitting the Gumbel and logistic growth models against one another to model COVID-19 spread
• A synergetic R-Shiny portal for modeling and tracking of COVID-19 data
• On multivariate selection scale-mixtures of normal distributions
• A Bivariate Beta from Gamma Ratios for Determining a Potential Variance Change Point: Inspired from a Process Control Scenario
• Tsallis and Other Generalised Entropy Forms Subject to Dirichlet Mixture Priors
• Advances in Wishart-type modelling of channel capacity
• Skew Generalized Normal Innovations for the AR(p) Process Endorsing Asymmetry
• High-Dimensional Precision Matrix Estimation through GSOS with Application in the Foreign Exchange Market
• Joint probabilistic modeling of wind speed and wind direction for wind energy analysis: A case study in humansdorp and noupoort
• A na {\i} ve Bayesian graphical elastic net: driving advances in differential network analysis
• Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Multidisciplinary Domains
• Ontwikkeling van ‘n samevattende generatormodel vir kardioïedmodellering in rigtingstatistiek
• Some computational aspects of a noncentral Dirichlet family
• Wasserstein distance as discriminator within the Dirichlet family
• A note on the probabilistic determinant of independent generalised beta entries
• Computational and Methodological Statistics and Biostatistics
• COVID19 interactive dashboard
• R Software package abglasso: Adaptive Bayesian Graphical Lasso
• dineR: Differential Network Estimation in R
• Spatial analysis and prediction of COVID-19 spread in South Africa after lockdown
• Weighted condition number distributions emanating from complex noncentral Wishart type matrices
• Bayesian analysis in the L 1-norm of the mixing proportion using discriminant analysis
• Exact nonnull distribution of Wilks' statistic: The ratio and product of independent components
• On the real representation of quaternion random variables
• Wishart distributions: Advances in theory with Bayesian application
• Bimatrix variate beta type IV distribution: relation to Wilks's statistic and bimatrix variate Kummer-beta type IV distribution
• Wishart ratios with dependent structure: new members of the bimatrix beta type IV
• Triply noncentral bivariate beta type V distribution
• A gamma-mixture class of distributions with Bayesian application
• The central and non-central matrix variate dirichlet type III distribution
• Parametric estimation of P(X > Y) for normal distributions in the context of probabilistic environmental risk assessment
• Preliminary test and Bayes estimation of a location parameter under BLINEX loss
• A bivariate generalization of gamma distribution
• Integral representation of quaternion elliptical density and its applications
• On the bivariate Kummer-beta type IV distribution
• Noncentral generalized multivariate beta type II distribution
• Distribution of the product of determinants of noncentral bimatrix beta variates
• A new definition of form-invariance matrix variate distributions
• Subjective Bayesian analysis of the elliptical model
• Bounds for the Bayes error in classification: a Bayesian approach using discriminant analysis
• A generalized multivariate beta distribution: control charting when the measurements are from an exponential distribution
• Advance mathematical statistics for elliptical models
• Bayesian Analysis in the L 1-Norm of the Mixing Proportion Using Discriminant Analysis
• Shannon entropy as a measure of certainty in a Bayesian calibration framework with bivariate beta priors: Theory and methods
• 'n Nuwe ontwikkeling tot die bivariate betaveld: referaatopsomming
• Shrinkage estimation of the lifetime parameters in the Rayleigh model using an empirical Bayesian approach
• New results from a beta-Pareto class
• Beta regression in the presence of outliers–A wieldy Bayesian solution
• Preface for the Special Issue on Computational Techniques in Theoretical and Applied Statistics
• Preliminary testing of the Cobb–Douglas production function and related inferential issues
• From Symmetry to Asymmetry on the Disc Manifold: Modeling of Marion Island Data
• Bivariate gamma type distributions for modeling wireless performance metrics
• Series representations for densities functions of a family of distributions—Application to sums of independent random variables
• Weighted distributions of eigenvalues
• New bivariate gamma types with MIMO application
• Developing multivariate distributions using Dirichlet generator
• Wishart generator distribution
• The performance of serial correlation preliminary test estimators under asymmetry loss functions
• Weighted-type Wishart distributions with application
• A Bayesian analysis for censored Rayleigh model using a generalised hypergeometric prior
• Bivariate noncentral distributions: an approach via the compounding method
• Estimation under the matrix variate elliptical model
• Objective Bayesian estimators for the right censored Rayleigh distribution: Evaluating the Al-Bayyati loss function
• Kernel Oriented Generator Distribution
• Objektiewe beramers vir die gesensoreerde Rayleigh-model onder verskillende verliesfunksies: referaatopsomming
• Feasible generalised least squares estimators in serially correlated error models from an asymmetry viewpoint
• Bayesian estimators of the location parameter of the normal distribution with unknown variance
• Bivariate Beta Distributions and Beyond
• The role of the real representation-in quaternion distribution theory
• Densities of composite Weibullized generalized gamma variables: theory and methods
• The type I distribution of the ratio of independent “Weibullized” generalized beta-prime variables
• Reliability characteristics of the Maxwell distribution: A Bayes estimation study
• Estimation of the matrix variate elliptical model
• Stochastic model for common cause failures and human error
• Bayesian analysis in the L1-norm of the mixing proportion using discriminant analysis
• A characterization of bimatrix variate distributions with special cases
• Bayesian estimation of stationary rate of disappointments for a model of a two-unit intermittenly used system
• ’n Karakterisering van bimatriksvariate verdelings, met verwysing na spesiale gevalle daarvan
• Die verdelings van die karakteristieke wortels van matrikse met re" ule-, komplekse-of kwaterniooninskrywings
• BAYESIAN ANALYSIS OF SURVIVAL DATA
• Bayesian study of a two-component system with common-cause shock failures
• Sample size determination using Bayesian decision criteria under absolute value loss function
• Stochastic model of an intermittently used system with non-perpetual vigil: Its estimation study
• Asymptotic confidence limits for the steady state availability of a two-unit parallel system with'preparation time'for the repair facility
• Bayesian multivariate normal analysis with a Wishart prior
• A generalization of the compound Rayleigh distribution: using a Bayesian method on cancer survival times
• A Bayesian method to analyse cancer survival times using the Weibull model
• A Bayesian method to analyse cancer lifetimes using the compound Weibull model
• A characterization of bimatrix variate distributions with special cases
• Bayesian highest posterior density intervals for the availability of a system with a'rest-period'for the repair facility
• Bayesian estimation of stationary rate of disappointments for a model of a two-unit intermittenly used system
• Berekening van a posteriori-verdeling in Bayes-analise: toepassing in'n betroubaarheidstelsel wat afwisselend gebruik word: research and review article
• The theoretical development of a new multivariate beta distribution
• Parameter-rich unconditional distributions with a stochastic parameter in the conditional gamma distribution
• On the unconditional lognormal distribution
• Mixture of exponentiated Pareto model through Beta type generator
• Operations on the Matrix Variate Beta Type I Variables and Applications
• SOME CHARACTERIZATIONS OF THE BIVECTOR VARIATE NORMAL-DISTRIBUTION
• Stochastic model for common cause failures and human error
• ’n Karakterisering van bimatriksvariate verdelings, met verwysing na spesiale gevalle daarvan
• ESTIMATION STUDY OF AN INTERMITTENTLY USED SYSTEM
• Superiority Conditions of Shrinkage Estimator in Laplacian Class of Elliptical Models
• On Wishart ratios with dependent structure
• Supplementary Material: Parametric estimation of P (X> Y) for normal
• Research Issues and the future research of intermittently used systems. Z
• Operations on Matrix Variate Beta Variables
• STOCHASTIC MODEL FOR COMMON CAUSE FAILURES AND HUMAN ERROR
• THE CHARACTERIZATION OF BIMATRIX VARIATE DISTRIBUTIONS
• Estimation of the matrix variate elliptical model
• A two-unit intermittently used cold standby system from a Bayesian viewpoint assuming a Dirichlet prior
• Berekening van a posteriori-verdeling in Bayes-analise: toepassing in'n betroubaarheidstelsel wat afwisselend gebruik word: research and review article
• GENERALIZATION, COMPOUNDING AND CHARACTERIZATION AS METHODS FOR FINDING PARAMETER-RICH DISTRIBUTIONS
• The distribution of the product of beta determinants
• Bayesian matrix variate elliptical model analysis
• Abernathy, Matt 685 Abreu, Giuseppe Thadeu Freitas De 444 Ade, Brian 164 Adetunji, Kayode
• Bayesian analysis of survival data using the Rayleigh model and linex loss
• Characterizing priors by posterior expectations in multivariate analysis
• Computation of posterior distribution in Bayesian analysis–application in an intermittently used reliability system
• Bayes estimators of the lifetime parameters using the compound Rayleigh model
• R-package “baygel” for Bayesian Estimators for Gaussian Graphical Models
• Alternative skew Laplace scale mixtures for modeling data exhibiting high-peaked and heavy-tailed traits
• A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together
• A refreshing take on the inverted Dirichlet via a mode parameterization with some statistical illustrations
• Computational aspects of likelihood-based inference for the univariate generalized hyperbolic distribution
• Soft computing for the posterior of a matrix t graphical network